Abstract: Handwritten character recognition has been one of the active and challenging areas of research in the field of image processing and pattern recognition. It has number of applications which include, reading aid for blind, and conversion of any hand written document into structural text form. In this paper we present a brief survey of various methods which recognizes of English alphabet in a given scanned text document. The first step is image acquisition which acquires the scanned image followed by noise filtering, smoothing and normalization of scanned image, rendering image suitable for segmentation where image is decomposed into sub images. Feature Extraction improves recognition rate and misclassification. We have to surveyed and compared various methods in this paper.
Keywords: Handwritten Character Recognition, Pattern Recognition, Image Processing, Feature Extraction.